Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images

Lecture notes in computer science(2023)10.1007/978-3-031-47076-9_7Source: DataRank Database

Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images is a research paper published in Lecture notes in computer science (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.77)OA: greenTopics (20)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (5)

A. Jha ORCID,Pritam Mukherjee ORCID,Mayank Patel ORCID,Ronald M. Summers ORCID,Bikash Santra ORCID

Live enrichment

PubMed:40342794 PMC:PMC12060173 OpenAlex:https://openalex.org/W4387938560

Intramural NIH HHS

Grant: Z01 CL040004

FWCI

0.77

Citation Percentile

0.8%

Citation Trend

2024

greenLicense: cc-by

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12060173/pdf/nihms-2072588.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12060173

book serieshttps://doi.org/10.1007/978-3-031-47076-9_7

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40342794

Fields of Study

Radiomics and Machine Learning in Medical ImagingAI in cancer detectionAdrenal and Paraganglionic Tumors

Keywords

Computer scienceIdentification (biology)Artificial intelligenceParagangliomaCluster (spacecraft)Deep learningPattern recognition (psychology)Computer visionRadiologyMedicineBiologyPheochromocytomaGenetic MutationsRadiogenomicsTransformerCt ImagesPpgl